1Centre for Wireless Communications, University of Oulu, Finland.
2Department of Science and Technology, Linköping University, Sweden.

This research has been financially supported by the Infotech Oulu, the Academy of Finland (grant 323698), and Academy of Finland 6G Flagship program (grant 346208). The work of M. Leinonen has also been financially supported in part by the Academy of Finland (grant 340171). M. Hatami would like to acknowledge the support of Nokia Foundation.

Internet of Things (IoT) is a key technology to connect different devices to enable emergent applications (e.g., smart society [1]}) with minimal human intervention.
In IoT sensing networks, sensors measure physical quantities (e.g., speed) and send measurements to a destination for further processing.
To counteract sensors' severe energy limitations, energy harvesting (EH), relying on, e.g., solar or RF ambient sources, is often employed.
Moreover, reliable control actions in time-critical IoT applications (e.g., drone control and industrial monitoring) require high freshness of information at the destination, often quantified by the Age of Information (AoI) [2]}.
To summarize, these emerging applications require designing AoI-aware status updating control that both guarantees timely status delivery and accounts for the limited energy resources of EH sensors.
